Rudolf GrΓΌnbichler
Sergio Salimbeni
- Universidad del Salvador, Vice-Rectorate for Research and Innovation, Research Institute for Architecture and Technology. Buenos Aires C1020ADA, Argentina
Thomas Fenzl
- Carinthia University of Applied Sciences, Departement of Business Management, EuropastraΓe 4, 9524 Villach, Austria
Abstract:
The implementation of artificial intelligence (AI) poses major challenges for manufacturing SMEs. This article identifies the barriers to the implementation of AI in manufacturing SMEs and compares the primary data from two qualitative studies conducted among Austrian and Argentinian SMEs. Qualitative content analysis is used to highlight differences and similarities. The results show that there are major similarities in both countries with regard to the lack of expertise, data quality issues, resource limitations and organiza¬tional framework conditions. Differences are particularly evident with regard to concerns about data security, acceptance of AI technology and the existing IT infrastructure. From a company perspective, it is apparent that training employees in this area is a major lever for leveraging the potential of AI. This measure can prevent further problems, such as the identification of use cases or a lack of data quality.
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference β LIMEN 2024: Vol 10. Selected Papers , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194936 , ISSN: 26836149 , DOI: 10.31410/LIMEN.S.P.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
